DocumentCode :
175685
Title :
The design of RF MEMS switch based on adaptive chaotic perturbation particle swarm optimization algorithm
Author :
Jun Liang ; Jianxia Liu ; Yan Yang ; Fang Wang
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
291
Lastpage :
296
Abstract :
In view of the complexity, relevance, and tedious design process in the traditional design of a radio frequency MEMS switch, a unique design idea, which adopts Adaptive Chaotic Perturbation Particle Swarm Optimization, is proposed. Subsequently, this improved algorithm is applied to research the electrical property of a high-frequency switch, which simplifies its design process. Finally, the optimized model of the high-frequency switch is used to verify the mechanical property by using ANSYS simulation software. The results indicate that the idea with ACPPSO is rational and shows high properties.
Keywords :
microswitches; particle swarm optimisation; ACPPSO; ANSYS simulation software; RF MEMS switch design; adaptive chaotic perturbation particle swarm optimization algorithm; design process; electrical property; high-frequency switch; mechanical property; optimized model; radiofrequency MEMS switch; Algorithm design and analysis; Aluminum; Mechanical factors; Microswitches; Radio frequency; Switching circuits; Adaptive Chaotic Perturbation Particle Swarm Optimization (ACPPSO); HFSS; MATLAB; RF MEMS switch; electrical property;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
Type :
conf
DOI :
10.1109/ICNC.2014.6975850
Filename :
6975850
Link To Document :
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